jialin-yu

jialin-yu's Stars

• camel-ai/camel

  🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org

  Language:Python5.3k640

• deepset-ai/haystack

  :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python16.4k1.8k

• torylin/causal-preference-optimization

  Language:Python3

• Farama-Foundation/Gymnasium

  An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

  Language:Python6.6k748

• LLMBook-zh/LLMBook-zh.github.io

  《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

  2.1k144

• Unity-Technologies/ml-agents

  The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  Language:C#16.8k4.1k

• EgoAlpha/prompt-in-context-learning

  Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

  Language:Jupyter Notebook1.5k89

• DSXiangLi/DecryptPrompt

  总结Prompt&LLM论文，开源数据&模型，AIGC应用

  2.5k255

• eric-mitchell/direct-preference-optimization

  Reference implementation for DPO (Direct Preference Optimization)

  Language:Python2k162

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k161

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.4k1.5k

• pytorch/botorch

  Bayesian optimization in PyTorch

  Language:Jupyter Notebook3k389

• tatsu-lab/alpaca_eval

  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

  Language:Jupyter Notebook1.4k220

• p-lambda/incontext-learning

  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

  Language:Python9412

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python29.9k7.4k

• facebookresearch/llm-transparency-tool

  LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/llm-transparency-tool-demo

  Language:Python72150

• ml-jku/clamp

  Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

  Language:Python856

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.2k101

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.4k1.3k

• joshlk/k-means-constrained

  K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

  Language:Jupyter Notebook18641

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook69352

• pytorch/rl

  A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

  Language:Python2.2k285

• UKPLab/sentence-transformers

  Multilingual Sentence & Image Embeddings with BERT

  Language:Python14.8k2.4k

• facebookresearch/AugLy

  A data augmentations library for audio, image, text, and video.

  Language:Python4.9k298

• makcedward/nlpaug

  Data augmentation for NLP

  Language:Jupyter Notebook4.4k460

• pytorch/torchrec

  Pytorch domain library for recommendation systems

  Language:Python1.9k397

• dorianbrown/rank_bm25

  A Collection of BM25 Algorithms in Python

  Language:Python97582

• marcotcr/checklist

  Beyond Accuracy: Behavioral Testing of NLP models with CheckList

  Language:Jupyter Notebook2k202

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.3k4.7k

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.8k386