Cs231n 2017Completed the CS231n 2017 spring assignments from Stanford university
Stars: ✭ 469 (-1.68%)
Practical PytorchGo to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Stars: ✭ 4,329 (+807.55%)
TpuReference models and tools for Cloud TPUs.
Stars: ✭ 4,580 (+860.17%)
Co Learning LoungeWelcome to the one point community-driven encyclopedia for anything in technology.
Stars: ✭ 473 (-0.84%)
Neural Turing MachinesAttempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)
Stars: ✭ 462 (-3.14%)
D2 NetD2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Stars: ✭ 448 (-6.08%)
Kitti object visKITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Stars: ✭ 467 (-2.1%)
DynslamMaster's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Stars: ✭ 446 (-6.5%)
DocsTensorFlow documentation
Stars: ✭ 4,999 (+948.01%)
GanttsPyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Stars: ✭ 460 (-3.56%)
3dmol.jsWebGL accelerated JavaScript molecular graphics library
Stars: ✭ 443 (-7.13%)
SwiftaiSwift for TensorFlow's high-level API, modeled after fastai
Stars: ✭ 445 (-6.71%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (-3.35%)
Pytorch MamlPyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
Stars: ✭ 444 (-6.92%)
Wfdb PythonNative Python WFDB package
Stars: ✭ 471 (-1.26%)
Python Ml CourseCurso de Introducción a Machine Learning con Python
Stars: ✭ 442 (-7.34%)
Fastquantfastquant — Backtest and optimize your trading strategies with only 3 lines of code!
Stars: ✭ 457 (-4.19%)
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (-7.34%)
NglviewJupyter widget to interactively view molecular structures and trajectories
Stars: ✭ 440 (-7.76%)
Dsp TheoryTheory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Stars: ✭ 437 (-8.39%)
N2TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
Stars: ✭ 457 (-4.19%)
Thinkcomplexity2Book and code for Think Complexity, 2nd edition
Stars: ✭ 471 (-1.26%)
Code searchCode For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Stars: ✭ 436 (-8.6%)
Jupyter DashDevelop Dash apps in the Jupyter Notebook and JupyterLab
Stars: ✭ 453 (-5.03%)
GetcardsNotebook to download machine learning flashcards
Stars: ✭ 435 (-8.81%)
Spark Nlp WorkshopPublic runnable examples of using John Snow Labs' NLP for Apache Spark.
Stars: ✭ 452 (-5.24%)
JupytextJupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Stars: ✭ 4,969 (+941.72%)
Class Balanced LossClass-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Stars: ✭ 433 (-9.22%)
Jax MdDifferentiable, Hardware Accelerated, Molecular Dynamics
Stars: ✭ 434 (-9.01%)
Tensorflow For Stock PredictionUse Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
Stars: ✭ 431 (-9.64%)
Pytorch NtmNeural Turing Machines (NTM) - PyTorch Implementation
Stars: ✭ 453 (-5.03%)
Qlearning tradingLearning to trade under the reinforcement learning framework
Stars: ✭ 431 (-9.64%)
MatrexA blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Stars: ✭ 429 (-10.06%)
How to make a text summarizerThis is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
Stars: ✭ 467 (-2.1%)
Python Causality HandbookCausal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Stars: ✭ 449 (-5.87%)
BoxesBoxes.py - laser cutting boxes and more
Stars: ✭ 429 (-10.06%)
SompyA Python Library for Self Organizing Map (SOM)
Stars: ✭ 430 (-9.85%)
Practical NlpOfficial Repository for 'Practical Natural Language Processing' by O'Reilly Media
Stars: ✭ 452 (-5.24%)