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North South University
- Dhaka, Bangladesh
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07:03
(UTC +06:00) - in/yashfinul-haque-b706b0201
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COMPUTER-VISION
Disease-Gene-Network
Consists of potential networks that studies disease-gene association. In short, to learn how an alien organism affect the proteins of the human body.Drug-Discovery-Models
Drug-Target-Network
Studies drug-target-interaction.Important LLM Relevent Repo
knowledge graph
Notes to memorize
Projects I want to do
Stars
Language: Python
Sort by: Most stars
All Algorithms implemented in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🦜🔗 Build context-aware reasoning applications
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A high-throughput and memory-efficient inference and serving engine for LLMs
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
PyTorch implementations of Generative Adversarial Networks.
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
🔍 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 d…
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Unsupervised single image depth prediction with CNNs
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting a wide range of text-embedding models and frameworks.
Some custom dataset examples for PyTorch
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Automatic scraper that tracks changes in news articles over time.
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
Tevatron - A flexible toolkit for neural retrieval research and development.
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.