jhashekhar Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

abc-tm

adventofcode2020

c-programs

Basic C programs

cat-embed

Categorical embedding using Neural Networks in PyTorch.

cfmmrouter.jl

Convex optimization for fun and profit. (Now in Julia!)

craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

cvae

Variational Auto-encoder implementation for various datasets.

data-import-script

python scripts related to data I/O etc.

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

disaster-clf

Classification of real and not-real tweets, describing natural disasters using fine-tuned language representation models.

dl-fw

dla

Diffusion Limited Aggregation

dnn-exp

Experiments related to optimization, convergence and network architectures.

dotfiles

generative-models

Implementation of various Generative Models in Pytorch

glow-pytorch

Flow models

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hasktorch

Tensors and neural networks in Haskell

ideastack

kaggle

Link to my Kaggle projects.

learn4haskell

👩‍🏫 👨‍🏫 Learn Haskell basics in 4 pull requests

llama.cpp

Port of Facebook's LLaMA model in C/C++

medibot

minima

A bunch of tools for futzing with the web

mlx

MLX: An array framework for Apple silicon

movie-recommender

Movie Recommendation system based on Collaborative Filtering and Latent Factor Model approach

multilingual-clf

Classification of multilingual dataset trained only on English training data using pre-trained models. Model is trained on TPUs using PyTorch and torch_xla library.

my-blog

nlp-projects

Implementation of different Natural Language Processing models and techniques like transformers, Naive-Bayes, word2vec, BERT, etc.