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North South University
- Dhaka, Bangladesh
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19:03
(UTC +06:00) - in/yashfinul-haque
Lists (12)
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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.Target-Gene-Networks
Involves PPI, Gene-Gene-Networks and more. Basically any model that studies the relationship between a target gene.Drug-Target-Network
Studies drug-target-interaction.Drug-Discovery-Models
Reference-For-Skills
Pytorch Tutorial
COMPUTER-VISION
Relation Extraction
Stars
DSPy: The framework for programming—not prompting—language models
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Python client library for Google Maps API Web Services
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.
Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
A knowledge graph RAG app using LangChain and Neo4j.
Fine tune a T5 transformer model using PyTorch & Transformers🤗
Insightful Tutorials and Papers about Knowledge Graphs
Some custom dataset examples for PyTorch
Learn how to design systems at scale and prepare for system design interviews
RAG example using DSPy, Gradio, FastAPI
Biomedical Named Entity Recognition and Normalization of Diseases, Chemicals and Genenetic entity classes through the use of state-of-the-art models.
A dataset generator/graph modeling demo of Shareholding Breakthrough with Distributed open-source Graph Database: Nebula Graph. 图数据库应用示例、数据集、图建模:股权关系穿透
Code repository for "Prioritizing Repurposable Drugs for SARS-CoV-2 using Deep Learning and Population-based Validation"
Genomic language model predicts protein co-regulation and function
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
PyTorch implementations of Generative Adversarial Networks.
Python toolkit for NCBI metadata (via eutils) and pubmed article text mining -- official primary repo.