ekshaks
Founder OffNote Labs | Gen AI Consulting | Researcher: Deep Learning, Large Language Models
OffNote LabsBangalore
ekshaks's Stars
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
JanVanRyswyck/awesome-talks
Awesome online talks and screencasts
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
andri27-ts/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
kimiyoung/transformer-xl
unionai-oss/pandera
A light-weight, flexible, and expressive statistical data testing library
facebookresearch/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
tensorflow/ranking
Learning to Rank in TensorFlow
dmis-lab/biobert
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
CSAILVision/gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
uTensor/uTensor
TinyML AI inference library
CalculatedContent/WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
tensorlayer/HyperPose
Library for Fast and Flexible Human Pose Estimation
Pulkit-Khandelwal/Reinforcement-Learning-Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
mlpack/ensmallen
A header-only C++ library for numerical optimization --
google-deepmind/dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
harvardnlp/namedtensor
Named Tensor implementation for Torch
ThoughtRiver/lmdb-embeddings
Fast word vectors with little memory usage in Python
crazydonkey200/neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
MagNet-DL/magnet
Deep Learning Projects that Build Themselves
facebookresearch/many-to-many-dijkstra
A predictive model developed to identify medium-voltage electrical distribution grid infrastructure using publicly available data sources.
mblondel/fenchel-young-losses
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
DeltaAnalytics/machine_learning_for_good
Machine learning fundamentals lesson in interactive notebooks
ppwwyyxx/GroupNorm-reproduce
An official collection of code in different frameworks that reproduces experiments in "Group Normalization"
moskomule/homura
homura is a library for fast prototyping DL research
microsoft/deterministic-variational-inference
Sample code for running deterministic variational inference to train Bayesian neural networks
adamshamsudeen/Vaaku2Vec
Language Modeling and Text Classification in Malayalam Language using ULMFiT
hanxiao/useful-one-liner
some useful one-liner
negrinho/research_toolbox
Utilities to help manage a machine learning experimental workflow