Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Stars: ✭ 86 (-80.97%)
Deeptoxictop 1% solution to toxic comment classification challenge on Kaggle.
Stars: ✭ 180 (-60.18%)
D2l EnInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Stars: ✭ 11,837 (+2518.81%)
D2l VnMột cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.
Stars: ✭ 402 (-11.06%)
ferFacial Expression Recognition
Stars: ✭ 32 (-92.92%)
Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: ✭ 346 (-23.45%)
SegmentationTensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (-77.65%)
kaggleKaggle solutions
Stars: ✭ 17 (-96.24%)
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-96.24%)
Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Stars: ✭ 572 (+26.55%)
digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Stars: ✭ 27 (-94.03%)
argus-tgs-saltKaggle | 14th place solution for TGS Salt Identification Challenge
Stars: ✭ 73 (-83.85%)
kaggler🏁 API client for Kaggle
Stars: ✭ 50 (-88.94%)
Kaggle Crowdflower1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
Stars: ✭ 1,708 (+277.88%)
StoreItemDemand(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
Stars: ✭ 24 (-94.69%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (-65.27%)
HumanOrRobota solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-96.46%)
My Cs DegreeA CS degree with a focus on full-stack ML engineering, 2020
Stars: ✭ 391 (-13.5%)
Tf Seq2seqSequence to sequence learning using TensorFlow.
Stars: ✭ 387 (-14.38%)
Transformers TutorialsGithub repo with tutorials to fine tune transformers for diff NLP tasks
Stars: ✭ 384 (-15.04%)
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Stars: ✭ 412 (-8.85%)
MultiwozSource code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Stars: ✭ 384 (-15.04%)
NlpnetA neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.
Stars: ✭ 379 (-16.15%)
BotlibreAn open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.
Stars: ✭ 412 (-8.85%)
Nlp ProgressRepository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Stars: ✭ 19,518 (+4218.14%)
Natural Language ProcessingProgramming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
Stars: ✭ 377 (-16.59%)
Data Science Ipython NotebooksData 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.
Stars: ✭ 22,048 (+4777.88%)
Code searchCode For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Stars: ✭ 436 (-3.54%)
Mlinterview A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Stars: ✭ 410 (-9.29%)
Beginner nlpA curated list of beginner resources in Natural Language Processing
Stars: ✭ 376 (-16.81%)
Cogcomp NlpCogComp's Natural Language Processing libraries and Demos:
Stars: ✭ 410 (-9.29%)
Pytorch UnetPyTorch implementation of the U-Net for image semantic segmentation with high quality images
Stars: ✭ 4,770 (+955.31%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (-30.31%)
ReductioAutomatic summarizer text in Swift
Stars: ✭ 406 (-10.18%)
Nlp[UNMANTEINED] Extract values from strings and fill your structs with nlp.
Stars: ✭ 367 (-18.81%)
Matchzoo PyFacilitating the design, comparison and sharing of deep text matching models.
Stars: ✭ 362 (-19.91%)