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2dunet

3dunet

3d u-net

anchordetr

chatgpt_colossalai

Making large AI models cheaper, faster and more accessible

chatgpt_nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

chatgpt_open-assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

chatgpt_palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

chatgpt_rl4lms

A modular RL library to fine-tune language models to human preferences

chatgpt_rwkv-lm

RWKV is a RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

chatgpt_transformers_tasks

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF etc.

chatgpt_trl

Train transformer language models with reinforcement learning.

chatgpt_trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

clsa_pytorch

Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

keras

Deep Learning for humans

model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

models

Models and examples built with TensorFlow

my_files

Hello~

unilm

UniLM AI - Unified "Language" Model Pre-training across Tasks, Languages, and Modalities