Ameya Dhamnaskar's starred repositories
New-Grad-Positions
A collection of full time roles in SWE, Quant, and PM for new grads.
scene_graph_benchmark
image scene graph generation benchmark
leetcode_company_wise_questions
This is a repository containing the list of company wise questions available on leetcode premium
cs-video-courses
List of Computer Science courses with video lectures.
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
two-stream-action-recognition
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
two-stream-pytorch
PyTorch implementation of two-stream networks for video action recognition
two-stream-action-recognition
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint trajectories
data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
Data-Science-Interview-Questions-and-Answers-General-
Data Science Questions and Answers (General) for beginner
data-science-question-answer
A repo for data science related questions and answers
Coursera-ML
Machine Learning with Coursera
Dan-Jurafsky--Chris-Manning--NLP
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
data-science-blogs
A curated list of data science blogs
awesome-courses
:books: List of awesome university courses for learning Computer Science!