Pinned Repositories
Adversarial-Semisupervised-Semantic-Segmentation
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
AF-Classification
AF Classification of short ECG lead recordings
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Homogeneous-Self-Dual-LP-Solver
Homogeneous Self-Dual Method for Linear Programs
Interior-Point-Solver-for-LP-1
Mehrotra's Predictor-Corrector Algorithm for Linear Programming
ML-Interview
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
ml-notes
Collection of notes I take while studying machine learning
PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
references
Collection of useful references to miscellaneous topics.
mohitzsh's Repositories
mohitzsh/ML-Interview
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
mohitzsh/references
Collection of useful references to miscellaneous topics.
mohitzsh/6.824
Distributed Systems course (Spring 2020) at MIT
mohitzsh/absa
Aspect Based Sentiment Analysis (SemEval16 Task 5)
mohitzsh/ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
mohitzsh/awesome-leading-and-managing
Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.
mohitzsh/bigscience
Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.
mohitzsh/blog-theme
Files needed to replicate my research blog
mohitzsh/build-your-own-x
🤓 Build your own (insert technology here)
mohitzsh/CppCon2019
Slides and other materials from CppCon 2019
mohitzsh/cs-video-courses
List of Computer Science courses with video lectures.
mohitzsh/cs224n
Stanford CS224n Course
mohitzsh/esl
Study notes for Elements of Statistical Learning (ESL) book.
mohitzsh/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
mohitzsh/gcn-original
Implementation of Graph Convolutional Networks in TensorFlow
mohitzsh/influential-cs-books
Most influential books on Computer Science/programming
mohitzsh/LC-ABSA
Training & Inferring & Reproducing for SOTA ABSA models
mohitzsh/learning-cpp
Notes from different sources I am using to learn cpp
mohitzsh/llm
Learning Language Modeling
mohitzsh/macest
Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
mohitzsh/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
mohitzsh/machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
mohitzsh/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
mohitzsh/standard-template-library
Notes and sample code taken while going through Stephan T. Lavavej's Standard Template Library (STL) Lecture series
mohitzsh/stanford-cs106l
Notes and assignments from stanford CS106L Fall 2019 class
mohitzsh/think-async
🌿 Exploring Cooperative Concurrency Primitives in Python
mohitzsh/tldp-bash
Notes from tldp Advanced Bash-Scripting Guide
mohitzsh/tldp-bash-guide-for-beginners
Notes for "Bash Guide for Beginners" by Machtelt Garrels
mohitzsh/tldp-bash-howto
Notes and code snippets from TLDP's BASH Programming - Introduction HOW-TO
mohitzsh/yjs
Shared data types for building collaborative software