Repository Index

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

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

• computer-vision
• deep-learning
• drug-discovery
• forecasting

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

• interview-questions
• dsa
• dbms
• sql

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

• pytorch
• speech-processing
• speaker-diarization
• speech-activity-detection

TranslatedConvert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。

• dain
• huoshan-tts
• microsoft-tts
• rife-gui

Overview and tutorial of the LangChain Library

Optimize prompts, code, and more with AI-powered Reflective Optimization

• agent-skills
• coding-agent
• discovery
• distributed-evolutionary-algorithms

[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

• templates
• opensource
• naas
• notebooks-templates

TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning

• gpu-programming
• llm
• nlp
• rl

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

• drug-repurposing
• deep-learning
• drug-target-interactions
• toolkit

Deep Reinforcement Learning for de-novo Drug Design

• deeplearning
• reinforcement-learning
• cheminformatics
• molecular-modeling

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

Optimising chemical reactions using machine learning

• chemistry
• machine-learning
• optimization
• bayesian-optimization

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121

Exploring the space of drug combinations to discover synergistic drugs using Active Learning

Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105

UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.

• benchmark
• bioinformatics
• cheminformatics
• computational-chemistry

Jupyter Kernel for ACL2

• acl2
• theorem-prover
• jupyter
• jupyter-kernel

Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.