Manish Choudhary's repositories
Algorithms
:computer: Data Structures and Algorithms in Python
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Deep-learning-with-Python
Deep learning codes and projects using Python
learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
TopDeepLearning
A list of popular github projects related to deep learning
3DmFV-Net
Point cloud classification in Real-time using 3DmFV representation and CNNs
AML-ALL-Drug-Discovery
The Peter Moss Acute Myeloid/Lymphoblastic Leukemia Drug Discovery repository is collection of research and development projects for drug discovery, identifying possible candidates for drugs to help combat Acute Myeloid & Acute Lymphoblastic Leukemia.
biopandas
Working with molecular structures in pandas DataFrames
DataStructureAndAlgorithmicThinkingWithPython
Data Structure And Algorithmic Thinking With Python
deep-bind-tensorflow
TF-binding CNN model, trained on ChIP-SEQ sequence data to predict dna-protein binding interactions.
drug-discovery-feature-selection
Experiment replication of Rahman Pujianto master thesis research (Universitas Indonesia, 2017)
Drug-Discovery-using-GANs
Check out the dash visualization at https://dash-drug-explorer.plot.ly/out
DS-DataSource
ML AI Sample MIT DataSource
Faster_RCNN_for_Open_Images_Dataset_Keras
Faster R-CNN for Open Images Dataset by Keras
FCD
Fréchet ChemNet Distance: A quality measure for generative models for molecules
human_body_prior
VPoser: Variational Human Pose Prior
librfn-python
Python wrapper for the RFN library.
ml_workshop
Resources and materials for a machine learning workshop
RecognitionOfHumans
CNNs with Keras for Recognition of fat and thin humans
Researchpaper
Research Papers
smiles-transformer
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
TTUR
Two time-scale update rule for training GANs