Releases · ray-project/ray · GitHub
Release Highlights Ray Data: This release features a new Delta Lake and Unity Catalog integration and performance improvements to various reading/writing operators. Ray Core: Enhanced GPU object support with intra-process communication and improved Autoscaler v2 functionality Ray Train: Improved hardware metrics integration with Grafana and enhanced collective operations support Ray Serve LLM: This release features early proof of concept for prefill-decode disaggregation deployment and LLM-aware
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Career growth Rediscovering joy in learning: Jason Lengstorf on the state of development We sit down with Jason Lengstorf on the GitHub Podcast, where he shares his perspective on education, AI, open source, and more. Andrea Griffiths · August 26, 2025 Application security Safeguarding VS Code against prompt injections When a chat conversation is poisoned by indirect prompt injection, it can result in the exposure of GitHub tokens, confidential files, or even the execution of arbitrary code with
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Snowflake Status - Incident History https://status.snowflake.com Statuspage Wed, 27 Aug 2025 03:11:13 -0700 Update New VNet Subnet IDs to Avoid Service Interruptions <p><strong>THIS IS A SCHEDULED EVENT Sep <var data-var='date'>18</var>, <var data-var='time'>17:00</var> - <var data-var='time'>21:00</var> PDT</strong></p><p><small>Aug <var data-var='date'>18</var>, <var data-var='time'>16:46</var> PDT</small><br><strong>Update</strong> - <p><span style="font-weight: 400;">We are extending the dea
Releases · onnx/onnx · GitHub
ONNX v1.18.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects. Key Updates ai.onnx Opset 23 Attention, Cast, CastLike, Constant, ConstantOfShape, DequantizeLinear, Flatten, Identity, If, Loop, Pad, QuantizeLinear, RMSNormalization, Reshape, RotaryEmbedding, Scan, Shape, Size, Squeeze, Transpose, Unsqueeze IR Version 11 Added FLOAT4E2M1 and multi-device configuration
Releases · wandb/wandb · GitHub
What's Changed Notable Changes The default ordering for Api().runs(...) and Api().sweeps(...) is now ascending order based on the runs created_at time. Added Support first summary option in define_metric (@kptkin in #10121) Add support for paginated sweeps (@nicholaspun-wandb in #10122) pattern parameter to Api().run().files to only get files matching a given pattern from the W&B backend (@jacobromero in #10163) Add optional format key to Launch input JSONSchema to specify a string with a secret
Releases · microsoft/LightGBM · GitHub
Changes 💡 New Features [CUDA] fix setting of CUDA architectures and enable support for NVIDIA Blackwell @StrikerRUS (#6812) [python-package] support Python 3.13 @jameslamb (#6668) [GPU] Add support for linear tree with device=gpu @dragonbra (#6567) [c++] Add Bagging by Query for Lambdarank @shiyu1994 (#6623) 🔨 Breaking [R-package] require lgb.Dataset, remove support for passing 'colnames' and 'categorical_feature' for lgb.train() and lgb.cv() @jameslamb (#6714) [python-package] support sub-class
Releases · Lightning-AI/pytorch-lightning · GitHub
Notable changes in this release PyTorch Lightning Changed Added save_on_exception option to ModelCheckpoint Callback (#20916) Allow dataloader_idx_ in log names when add_dataloader_idx=False (#20987) Allow returning ONNXProgram when calling to_onnx(dynamo=True) (#20811) Extended support for general mappings being returned from training_step when using manual optimization (#21011) Fixed Fixed Allowing trainer to accept CUDAAccelerator instance as accelerator with FSDP strategy (#20964) Fixed prog
Releases · jax-ml/jax · GitHub
New features JAX now ships Python 3.14 and 3.14t wheels. JAX now ships Python 3.13t and 3.14t wheels on Mac. Previously we only offered free-threading builds on Linux. Changes Exposed jax.set_mesh which acts as a global setter and a context manager. Removed jax.sharding.use_mesh in favor of jax.set_mesh. JAX is now built using CUDA 12.9. All versions of CUDA 12.1 or newer remain supported. jax.lax.dot now implements the general dot product via the optional dimension_numbers argument. Deprecation
Releases · scikit-learn/scikit-learn · GitHub
We're happy to announce the 1.7.1 release. This release contains fixes for a few regressions introduced in 1.7. You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.7.html#version-1-7-1 You can upgrade with pip as usual: pip install -U scikit-learn The conda-forge builds can be installed using: conda install -c conda-forge scikit-learn Thanks to everyone who contributed to this release !
Releases · catboost/catboost · GitHub
Python package Support Python 3.13 #2748. Thanks to @jeremy010203. Support NumPy 2.x. #2671 Drop support for obsolete Python 3.7. Use the proper name of the implementation class as a string id when storing values calculated for custom metrics on GPU. #1792 Propagate exceptions from custom metrics code on GPU. #1792 CatBoost for Apache Spark Fix workers hanging after training. #2151. Thanks to @Shamann. Remove support for Spark 2.x Improvements [R-package] Allow targets of character and factor ty
Releases · salesforce/LAVIS · GitHub
Fix BLIP-2 mixed precision issue on CPU. Available on PyPi: https://pypi.org/project/salesforce-lavis/
Releases · pytorch/serve · GitHub
Highlights Include GenAI updates No code LLM deployments with TorchServe + vLLM & TensorRT-LLM using ts.llm_launcher script OpenAI API support for TorchServe + vLLM Integration of TensorRT-LLM engine Stateful Inference on AWS Sagemaker (see blog) Support for linux-aarch64 CI & nightly regression added Publish docker & KServe images PyTorch updates Support for PyTorch 2.4 Deprecation of TorchText PyTorch Updates upgrade to PyTorch 2.4 & deprecation of TorchText by @agunapal in #3289 Resnet152 bat
Releases · tensorflow/tensorflow · GitHub
Release 2.19.1 Bug Fixes and Other Changes Fix save_model.save for Serving embedding and add SparseCore Reshard.
Releases · openai/gym · GitHub
Release notes This is another very minor bug release. Bugs Fixes As reset now returns (obs, info) then in the vector environments, this caused the final step's info to be overwritten. Now, the final observation and info are contained within the info as "final_observation" and "final_info" @pseudo-rnd-thoughts Adds warnings when trying to render without specifying the render_mode @younik Updates Atari Preprocessing such that the wrapper can be pickled @vermouth1992 Github CI was hardened to such
Releases · allenai/allennlp · GitHub
What's new Fixed ✅ Updated dependencies Commits c51707e Add a shout to allennlp-light to the README 928df39 Be flexible about rich (#5719) d5f8e0c Update torch requirement from <1.12.0,>=1.10.0 to >=1.10.0,<1.13.0 (#5680) 9f879b0 Add flair as an alternative (#5712) b2eb036 Allowed transitions (#5706) c6b248f Relax requirements on protobuf to allow for minor changes and patches. (#5694) 8571d93 Add a list of alternatives for people to try (#5691)
Releases · ultralytics/yolov5 · GitHub
Our new YOLOv5 v7.0 instance segmentation models are the fastest and most accurate in the world, beating all current SOTA benchmarks. We've made them super simple to train, validate and deploy. See full details in our Release Notes and visit our YOLOv5 Segmentation Colab Notebook for quickstart tutorials. Our primary goal with this release is to introduce super simple YOLOv5 segmentation workflows just like our existing object detection models. The new v7.0 YOLOv5-seg models below are just a sta
Update from https://blog.twitch.tv/de-de/sitemap.xml
https://blog.twitch.tv/de-de/posts/2025-08-20T23:06:22+00:00https://blog.twitch.tv/de-de/2025/08/12/subtember-2025/2025-08-20T23:06:22+00:00https://blog.twitch.tv/de-de/2025/07/29/monetization-for-all/2025-08-20T23:06:22+00:00https://blog.twitch.tv/de-de/2025/06/27/summer-drops-fest-2025/2025-08-20T23:06:22+00:00https://blog.twitch.tv/de-de/2025/06/27/the-qoux-journey/2025-08-20T23:06:22+00:00https://blog.twitch.tv/de-de/tags/engineering/2025-08-20T23:06:22+00:00https://blog.twitch.tv/de-de/tags
Releases · facebookresearch/detectron2 · GitHub
Pre-built Linux binaries are available for the following environment: CUDA torch 1.10torch 1.9torch 1.8 11.3 install python -m pip install detectron2==0.6 -f \ https://dl.fbaipublicfiles.com/detectron2/wheels/cu113/torch1.10/index.html 11.1 install python -m pip install detectron2==0.6 -f \ https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.10/index.html install python -m pip install detectron2==0.6 -f \ https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html instal
Update from https://blog.twitch.tv/en/sitemap.xml
https://blog.twitch.tv/en/posts/2025-08-20T23:06:22+00:00https://blog.twitch.tv/en/2025/08/12/subtember-2025/2025-08-20T23:06:22+00:00https://blog.twitch.tv/en/2025/07/29/monetization-for-all/2025-08-20T23:06:22+00:00https://blog.twitch.tv/en/2025/06/27/summer-drops-fest-2025/2025-08-20T23:06:22+00:00https://blog.twitch.tv/en/tags/engineering/2025-08-20T23:06:22+00:00https://blog.twitch.tv/en/2025/06/26/the-qoux-journey/2025-08-20T23:06:22+00:00https://blog.twitch.tv/en/2025/05/31/ten-years-of-t