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2048andtodo

adaafforpinns

agentcoder

ai-data-analysis-mulitagent

AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation, data analysis, visualization, and report writing. Perfect for researchers and data scientists seeking to enhance their workflow and productivity.

ai-scientist

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

ailia-models

The collection of pre-trained, state-of-the-art AI models for ailia SDK

alphafold

Open source code for AlphaFold.

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

are-you-drowsy

Am I drowsy enough to not drive? Take some glasses of water!

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-llm-robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

bentrevett-pytorch-seq2seq_ru

bestlunch

bestlunchforat

bookingapi

Java Enterprise: Maven/ Spring/ Security/ Data Mongo/ REST(Jackson)

crnn_chinese_characters_rec

(CRNN) Chinese Characters Recognition.

crnn_seq2seq_ocr_pytorch

Extremely simple implement for Chinese OCR by PyTorch.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

dialogpt

Large-scale pretraining for dialogue

differentiating_deep_neural_network

docs

TensorFlow documentation

duma

eldyn_test_service

etl

fast-accurate-scientific-writing

fast-transformers

Pytorch library for fast transformer implementations

fbc2_aij2022

FusionBrain Challenge 2.0: creating multimodal multitask model

fbpinns

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)