jialin-yu's Stars
camel-ai/camel
🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
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.
torylin/causal-preference-optimization
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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
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.
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.
DSXiangLi/DecryptPrompt
总结Prompt&LLM论文,开源数据&模型,AIGC应用
eric-mitchell/direct-preference-optimization
Reference implementation for DPO (Direct Preference Optimization)
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
pytorch/botorch
Bayesian optimization in PyTorch
tatsu-lab/alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
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"
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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
ml-jku/clamp
Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
KindXiaoming/pykan
Kolmogorov Arnold Networks
joshlk/k-means-constrained
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
tamlhp/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
UKPLab/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
facebookresearch/AugLy
A data augmentations library for audio, image, text, and video.
makcedward/nlpaug
Data augmentation for NLP
pytorch/torchrec
Pytorch domain library for recommendation systems
dorianbrown/rank_bm25
A Collection of BM25 Algorithms in Python
marcotcr/checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
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
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch