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Reading list for research topics in multimodal machine learning
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
This is the implementation for our paper about an explainable artificial model for COVID-19 forecasting.
Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks
A collection of Vietnamese Natural Language Processing resources.
A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).
AI 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…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
AutoDock for GPUs and other accelerators
A curated list of resources for machine learning for small-molecule drug discovery
A research project for natural language generation, containing the official implementations by MSRA NLC team.
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
Bayesian active learning library for research and industrial usecases.
This is a free version of Turnitin. Probably the best tool for IB students.
Cloud-based molecular simulations for everyone
P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
gBolt--very fast implementation for gSpan algorithm in data mining