saikchaitanya Goto Github PK
Name: Saikrishna Chaitanya
Type: User
Bio: Masters student of Data Science and Electrical Engineering at USC. Studying Quantum Theory as a hobby. Cricket and Soccer fan.
Location: Los Angeles, CA
Saikrishna Chaitanya's Projects
auto-pytorch
Automatic architecture search and hyperparameter optimization for PyTorch
deep-n-cheap
AutoML framework balancing performance and complexity
nlp---sentiment-analaysis-of-movie-review-snippets
Insights into BERT’s ability to recognize the sentiment of movie review snippets using transfer learning
predicting-the-winner-of-tennis-matches-in-atp
The goal is to estimate the likelihood of “wins” in tennis matches of the men’s ATP tour. A win happens when a higher-ranked player wins the match against a lower-ranked player. I selected a range of 2 years. The Grand Slam tournaments generally adopt the concept of Best of 5, while the other tournaments 4 follow the Best of 3. I selected the three classifiers as Logistic Regression, Decision Trees and Random Forest to make the predictions on both structures. Plotting the ROC curves along with win probability gives us a fair idea for predicting.
random_network_distillation-montezumas_revenge
Different projects which use deep learning
study-and-implementation-of-classifiers-on-aps-failure-at-scania-trucks-2
• Develop a pattern recognition that operates on real-world data and classifies the data accurately • Implemented data preprocessing techniques like normalization, one hot encoding and adjusted for class imbalance, along with feature extraction and dimensionality reduction • Compared different classifiers(accuracies) like Logistic Regression, SVC, Gaussian Naïve Bayes and K means using F1 score and user-defined cost
superresgan
Super Resolution using Gans
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