Shubham Pachori's repositories
awesome-mlops
A curated list of references for MLOps
awesome-system-design
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
CodeRL
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
CodeT5
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
CodeTF
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
dynamic-pal
Leveraging training data for few-shot prompting
fast-transformers
Pytorch library for fast transformer implementations
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
low-level-design-primer
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
MCLRec
This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation".
mlops-course
Learn how to design, develop, deploy and maintain an end-to-end ML application at scale.
mlops-zoomcamp
Free MLOps course from DataTalks.Club
notebooks-2
Notebooks using the Hugging Face libraries 🤗
polars
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
PPOCoder
Code for "PPOCoder: Execution-based Code Generation using Deep Reinforcement Learning"
pretraining-or-self-training
Codebase for the paper "Rethinking Semi-supervised Learning with Language Models"
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
system-design-resources
These are the best resources for System Design on the Internet
system-design-resources-1
Contains system design materials to prepare for system design interviews 🚩👨💻👨💻👨💻
the-algorithm
Source code for Twitter's Recommendation Algorithm
torchquantum
A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
VNEL
Dataset and code for EMNLP 2022 "Visual Named Entity Linking: A New Dataset and A Baseline"